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Auflistung nach Autor:in "Tiepmar, Jochen"

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  • Journal
    A Big Data Case Study in Digital Humanities
    (Datenbank-Spektrum: Vol. 19, No. 1, 2019) Heyer, Gerhard; Tiepmar, Jochen
  • Textdokument
    SubRosa: Determining Movie Similarities based on Subtitles
    (INFORMATIK 2020, 2021) Luhmann, Jan; Burghardt, Manuel; Tiepmar, Jochen
    For streaming websites, media shopping platforms and movie databases, movie recommendation systems have become an important technology, where mostly hybrid methods of collaborative and content-based filtering on the basis of user ratings and user-generated content have proven to be effective. However, these methods can lead to popularity-biased results that show an under-representation of those movies for which only little user-generated data exists. In this paper we will discuss the possibility of generating movie recommendations that are not based on user-generated data or metadata, but solely on the content of the movies themselves, confining ourselves to movie dialog. We extract low-level features from movie subtitles by using methods from Information Retrieval, Natural Language Processing and Stylometry, and examine a possible correlation of these features' similarity with the overall movie similarity. In addition we present a novel web application called SubRosa (http://ch01.informatik.uni-leipzig.de:5001/), which can be used to interactively compare the results of different feature combinations.